RETRACTED: Artificial ecosystem-based optimization for optimal tuning of robust PID controllers in AVR systems with limited value of excitation voltage

SAGE Publications

Željko Djurovic , Hala M Abdel Mageed , Martin Ćalasan , Mihailo Micev

Preuzmite dokument

2020

IEEE

optimization of voltage controller parameters considering the real model of the automatic voltage regulation system

Preuzmite dokument 2024 Martin Ćalasan , Mihailo Micev , Milovan Radulović

IEEE

Multi-Input Single-Output Neural Network Modeling of the System for Regulation of Synchronous Generator's Excitation

Preuzmite dokument 2024 Martin Ćalasan , Mihailo Micev

MDPI AG

Disturbance Rejection-Based Optimal PID Controllers for New 6ISO AVR Systems

In the literature, different approaches that are employed in designing automatic voltage regulators (AVRs) usually model the AVR as a single-input-single-output system, where the input is the generator reference voltage, and the output is the generator voltage. Alternately, it could be thought of as a double-input, single-output system, with the excitation voltage change serving as the additional input. In this paper, unlike in the existing literature, we designed the AVR system as a sextuple-input...

Preuzmite dokument 2023 Ziad M. Ali , Obaid Aldosari , Sultan Alghamdi , Martin Ćalasan , Shady H. E. Abdel Aleem , Salem Alkhalaf , Mihailo Micev , Muhyaddin Rawa

Institute of Electrical and Electronics Engineers (IEEE)

Artificial Neural Network-Based Nonlinear Black-Box Modeling of Synchronous Generators

Preuzmite dokument 2023 Martin Ćalasan , Shady H. E. Abdel Aleem , Mihailo Micev , Hany M. Hasanien , Ahmed F. Zobaa , Milovan Radulović

IEEE

Parameter identification of different models of automatic voltage regulation system

Preuzmite dokument 2023 Vladan Vujičić , Martin Ćalasan , Mihailo Micev , Milovan Radulović